Mirage 2.0: fast and memory-efficient reconstruction of gene-content evolution considering heterogeneous evolutionary patterns among gene families.

ABSTRACT:

Summary

We present Mirage 2.0, which accurately estimates gene-content evolutionary history by considering heterogeneous evolutionary patterns among gene families. Notably, we introduce a deterministic pattern mixture model, which makes Mirage substantially faster and more memory-efficient to be applicable to large datasets with thousands of genomes.

Availability and implementation

The source code is freely available at https://github.com/fukunagatsu/Mirage.

Supplementary information

Supplementary data are available at Bioinformatics online.

SUBMITTER: Fukunaga T 

PROVIDER: S-EPMC9364385 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature